Difference between revisions of "Methods of Environmental Sciences"

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The course '''Methods of Environmental Sciences''' covers a broad cross-section of those scientific methods and approaches that are central to sustainability research as well as further Wiki entries that frame the presented methods in the light of the Wiki's conceptual perspective.
  
=== Day 1 - Definition & History of Methods ===
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__TOC__
[[History of Methods]]
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<br/>
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==== Definition & History of Methods ====
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Within this lecture we deeply focus on the formation of a new arena in science that is including not only system knowledge, but also normative knowledge as well as transformative knowledge. In order to create solution for the problems we currently face, a solution orientated agenda is necessary.  This may demand the creation of novel methodological pathways to knowledge creation. Here, we give a tentative overview on the developments up until now.
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* [[History of Methods in Sustainability Science]]
  
=== Day 2 - The relation of theory, methods and topics ===
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==== Design Criteria of Methods in Sustainability Science ====
[[Ontology]]
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There are several design criteria that allow you to systematise methods. Many of these criteria are part of the “usual suspects” in normal science ''sensu strictu'' Kuhn. Here, we discuss further design criteria and knowledge types that can be relevant to systematise knowledge production through methods for sustainability science.
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* [[Design Criteria of Methods in Sustainability Science]]
  
=== Day 3 - [[Thought Experiment]] & [[Legal Research]] ===
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==== [[Thought Experiments]] & [[Legal Research]] ====
  
=== Day 4 - Quantitative Methods in the Humanities ===
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==== Quantitative Methods in the Humanities ====
ADD entries
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* [[Causality and correlation]]
=== Day 5 - [[GIS]] ===
 
  
=== Day 6 - [[Grounded Theory]] ===
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==== [[Geographical Information Systems]] ====
  
=== Day 7 - Interviews ===
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==== [[Grounded Theory]] ====
[[Semi-structured Interview]]
 
[[Open Interview]]
 
  
=== Day 8 - The ecological experiment ===
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==== Interviews ====
ADD entries
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* [[Semi-structured Interview]]<br/>
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* [[Open Interview]]
  
=== Day 9 - Causal Loop Diagrams ===
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==== The ecological experiment ====
ADD System Thinking & Causal Loop diagrams
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* [[Experiments and Hypothesis Testing]]
  
=== Day 10 - Questioning the status quo in method-driven research ===
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==== Causal Loop Diagrams ====
[[The future of methods]]
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* [[System Thinking & Causal Loop Diagrams]]
  
=== Day 11 - [[???]] ===
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==== Questioning the status quo in method-driven research ====
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* [[Questioning the status quo in methods]]
  
=== Day 12 - [[Meta-Analysis]] ===
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==== [[Social Network Analysis]] ====
  
=== Day 13 - Mixed Methods in transdisciplinary research ===
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==== Meta-Analysis ====
ADD Methods of TD research
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* [[Meta-Analysis]]
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* [[Systematic Literature Review]]
  
=== Day 14 - Recap & Outlook ===
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==== Mixed Methods in transdisciplinary research ====
ADD - or delete
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* [[Transdisciplinarity]]
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* [[Visioning & Backcasting]]
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* [[Scenario Planning]]
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* [[Living Labs & Real World Laboratories]]
  
 
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[[Category: Courses]]
 
[[Category: Courses]]

Latest revision as of 10:41, 20 January 2021

The course Methods of Environmental Sciences covers a broad cross-section of those scientific methods and approaches that are central to sustainability research as well as further Wiki entries that frame the presented methods in the light of the Wiki's conceptual perspective.


Definition & History of Methods

Within this lecture we deeply focus on the formation of a new arena in science that is including not only system knowledge, but also normative knowledge as well as transformative knowledge. In order to create solution for the problems we currently face, a solution orientated agenda is necessary. This may demand the creation of novel methodological pathways to knowledge creation. Here, we give a tentative overview on the developments up until now.

Design Criteria of Methods in Sustainability Science

There are several design criteria that allow you to systematise methods. Many of these criteria are part of the “usual suspects” in normal science sensu strictu Kuhn. Here, we discuss further design criteria and knowledge types that can be relevant to systematise knowledge production through methods for sustainability science.

Thought Experiments & Legal Research

Quantitative Methods in the Humanities

Geographical Information Systems

Grounded Theory

Interviews

The ecological experiment

Causal Loop Diagrams

Questioning the status quo in method-driven research

Social Network Analysis

Meta-Analysis

Mixed Methods in transdisciplinary research